Data Engineer

Statusneo Technology Consulting; Gurugram District, Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Statusneo Technology Consulting is seeking a data engineering expert to design, develop, and maintain scalable data pipelines and ETL processes. You will work with Snowflake to build and optimize data warehouses, and develop automation scripts using Python for data workflows.

In this role you will manage data across AWS (S3, Glue, Lambda, Redshift) and write optimized SQL for extraction and reporting, collaborating with analysts and stakeholders while ensuring data quality and governance.

Qualifications

• Proficiency in Snowflake data modeling, performance tuning and warehouse management.
• Strong Python programming for data engineering tasks and automation.
• Hands-on experience with AWS services (S3, Glue, Lambda, Redshift, EC2).
• Advanced SQL skills including complex queries and optimization.
• Experience with ETL tools and data pipelines.
• Knowledge of CI/CD pipelines and version control (Git).
• Understanding of data governance, security, and compliance best practices.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Work with Snowflake to build and optimize data warehouses.
• Develop automation scripts and data workflows using Python.
• Manage and integrate data across cloud platforms, primarily AWS (S3, Lambda, Glue, Redshift).
• Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
• Collaborate with data analysts, scientists, and business stakeholders to deliver data solutions.
• Ensure data quality, security, and compliance with organizational standards.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.

Skills

Snowflake

Python

AWS

SQL

ETL tools

CI/CD

Git

Data governance

Job description

Role & responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Work extensively with Snowflake to build and optimize data warehouses.
• Develop automation scripts and data workflows using Python.
• Manage and integrate data across cloud platforms, primarily AWS (S3, Lambda, Glue, Redshift, etc.).
• Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
• Collaborate with data analysts, scientists, and business stakeholders to deliver high-quality data solutions.
• Ensure data quality, security, and compliance with organizational standards.
• Monitor and troubleshoot data pipelines to ensure reliability and performance.

Preferred candidate profile

• Strong expertise in Snowflake (data modeling, performance tuning, warehouse management).
• Proficiency in Python for data engineering tasks (automation, scripting, API integration).
• Hands-on experience with AWS services (S3, Glue, Lambda, Redshift, EC2).
• Advanced knowledge of SQL (complex queries, stored procedures, optimization).
• Experience with ETL tools and frameworks.
• Familiarity with CI/CD pipelines and version control (Git).
• Understanding of data governance, security, and compliance best practices.